IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic
A network intrusion detection system is critical for cyber security against illegitimate attacks. In terms of feature perspectives, network traffic may include a variety of elements such as attack reference, attack type, a sub-category of attack, host information, malicious scripts, etc. In terms of...
Tallennettuna:
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
KeAi Communications Co., Ltd.
2024-02-01
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| Sarja: | Digital Communications and Networks |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S2352864823000640 |
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